Beyond the price per token: Choosing the right OpenAI model on Amazon Bedrock for your workload

AWS Machine Learningen

Beyond the price per token: Choosing the right OpenAI model on Amazon Bedrock for your workload

Comparing models on dollars per million tokens misses what production workloads actually pay for: outcomes. This post shares an open-source benchmarking harness that measures cost per correct answer, agent trajectory cost, and rubric-graded deliverable quality across OpenAI models on Amazon Bedrock.

This is a short summary published by AI Global Wire. The full article is owned and hosted by AWS Machine Learning — open it there to read it in full.

Read the full story at AWS Machine Learning
  • OpenAI
  • Agenter

Related AI news